Fei-Fei Cheng

1.5k citations
25 papers · 1.1k · h-index 14

Impact in

Papers in

Fei-Fei Cheng

24 papers receiving 1.0k citations

Peers

Fei-Fei Cheng
Comparison fields: 5 of 112
  • Information Systems and Management 391
  • Marketing 357
  • General Decision Sciences 50
  • Organizational Behavior and Human Resource Management 140
  • Communication 78
Replace Chin-Shan Wu with:
Chin-Shan Wu Taiwan
Suzanne Altobello Nasco United States
Pallab Paul United States
Byung‐Kwan Lee South Korea
Mari‐Klara Stein Denmark
Anssi Öörni Finland
Daniel Wentzel Germany
Martin Adam Germany
Yi-Cheng Ku Taiwan
Gabriele Pizzi Italy
Fei-Fei Cheng relative to Chin-Shan Wu Taiwan Chin-Shan Wu's profile →
Citations per field
00.5×1.5×
Chin-Shan Wu · 1×
Citations per year

Countries citing papers authored by Fei-Fei Cheng

Since Specialization
Citations

This map shows the geographic impact of Fei-Fei Cheng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fei-Fei Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei-Fei Cheng more than expected).

Fields of papers citing papers by Fei-Fei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei-Fei Cheng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fei-Fei Cheng. The network helps show where Fei-Fei Cheng may publish in the future.

Co-authors

The 7 scholars most cited alongside Fei-Fei Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei-Fei Cheng Line = papers co-authored together Fei-Fei Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010251
2 2008137
3 2018111
4 2008110
5 201084
6 201870
7 201061
8 201143
9 201838
10 200736
11 201729
12 202126
13 201420
14 200615
15 201012
16 201811
17 202010
18
Perceived Risks and Risk Reduction Strategies in Online Group-Buying
20137
19 20137
20
Web site Usability Evaluation of Internet Banking in Taiwan
20046

About Fei-Fei Cheng

Fei-Fei Cheng is a scholar working on Sociology and Political Science, Information Systems and Management, Marketing, Organizational Behavior and Human Resource Management and Communication, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (10 papers), Digital Marketing and Social Media (9 papers), Customer Service Quality and Loyalty (6 papers), Behavioral Health and Interventions (4 papers), Consumer Behavior in Brand Consumption and Identification (4 papers), Consumer Retail Behavior Studies (4 papers), Knowledge Management and Sharing (3 papers) and Color perception and design (3 papers). The work is most often cited by research in Information Systems and Management (391 citations), Marketing (357 citations), General Decision Sciences (50 citations), Organizational Behavior and Human Resource Management (140 citations) and Communication (78 citations). Fei-Fei Cheng has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Chin-Shan Wu, David C. Yen, Yuwen Huang, Yi‐Chieh Chen, Hsin‐Hui Lin, J. Chang and Frank S. C. Tseng. Their work appears in journals such as Computers in Human Behavior, Behaviour and Information Technology, Library Hi Tech, Computer Standards & Interfaces and Project Management Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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